{"id":"W2169941656","doi":"10.1109/hpcs.2006.10","title":"A Unified Scheduling Algorithm for Grid Applications","year":2006,"lang":"en","type":"article","venue":"","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Distributed computing; Reservation; Scheduling (production processes); Grid; Grid computing; Workload; Computer network; Algorithm; Operating system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001672014,0.0009575115,0.001154813,0.001158517,0.001205664,0.001914569,0.001997796,0.001112743,0.003566362],"category_scores_gemma":[0.00345513,0.0005542966,0.001009046,0.002065574,0.0007519593,0.001651156,0.001585217,0.001295047,0.00162885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001251543,"about_ca_system_score_gemma":0.002708522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006361547,"about_ca_topic_score_gemma":0.005876657,"domain_scores_codex":[0.9987673,0.000371755,0.00009155225,0.0001758694,0.0004455724,0.000148102],"domain_scores_gemma":[0.9993876,0.0001858287,0.00004462671,0.0001242507,0.0002157205,0.00004184674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001643918,0.00008932895,0.0004189834,0.0001987658,0.00007643743,0.0001019827,0.0001709444,0.5992204,0.003405175,0.118916,0.01273555,0.2645021],"study_design_scores_gemma":[0.00003535162,0.00003293671,0.0000644933,0.00001136778,0.00001250231,0.00002894175,0.00001494988,0.9734355,0.0005452256,0.01636355,0.009444636,0.0000104512],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002432788,0.0003171052,0.993149,0.0001082427,0.00007153081,0.00008855566,0.00005455152,0.001206507,0.002571777],"genre_scores_gemma":[0.07772933,0.0005016064,0.916195,0.0001123595,0.00008098895,0.0004037521,0.0004094346,0.000287769,0.004279726],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006361547,"threshold_uncertainty_score":0.01264906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01328765987430313,"score_gpt":0.2443235758860841,"score_spread":0.231035916011781,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}